• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Micromachines >An Adaptable Interface Conditioning Circuit Based on Triboelectric Nanogenerators for Self-Powered Sensors
【2h】

An Adaptable Interface Conditioning Circuit Based on Triboelectric Nanogenerators for Self-Powered Sensors

机译：基于摩擦纳米发电机的自供电传感器自适应接口调节电路

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In order to solve the limited life problem of typical battery power supply, a self-powered method that is based on the environmental energy harvesting has emerged as an amazing power supply approach. The Tribo-electric-Nano-generator (TENG) has been widely studied because of its high efficiency, low fabrication cost, and high output voltage. However, low output power conversion efficiency has restricted its practical application because of its own extremely high output impedance. In order to match the high output impedance of TENG and increase the output power, this paper presents an adaptable interface conditioning circuit, which is composed of an impedance matching circuit, a synchronous rectifier bridge, a control circuit, and an energy storage device. In the impedance matching circuit, the energy loss of coupling inductance could be reduced by using the bi-directional switch to increase the frequency, and impedance matching circuit can be used to increase the output efficiency of TENG. Experimental results show that, in about 3.6 s, the storing capacitor voltage was basically stable at 5.5 V by using the proposed adapted interface conditioning circuit in this paper. The charging efficiency has increased by 50%.
机译：为了解决典型的电池电源的寿命有限的问题，基于环境能量收集的自供电方法已经成为一种令人惊奇的电源方法。摩擦电动纳米发电机（TENG）因其高效，低制造成本和高输出电压而得到了广泛的研究。然而，低输出功率转换效率由于其自身的极高输出阻抗而限制了其实际应用。为了匹配TENG的高输出阻抗并增加输出功率，本文提出了一种自适应接口调节电路，该电路由阻抗匹配电路，同步整流桥，控制电路和储能装置组成。在阻抗匹配电路中，可以通过使用双向开关来提高频率来减少耦合电感的能量损失，并且可以使用阻抗匹配电路来提高TENG的输出效率。实验结果表明，使用本文提出的自适应接口调节电路，在约3.6 s内，存储电容器电压基本稳定在5.5V。充电效率提高了50％。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号